Dr Muhammad Tariq Sadiq
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Email
m.t.sadiq@essex.ac.uk -
Location
5A.523, Colchester Campus
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Academic support hours
My Academic Support Hours will be 9:30–11:30 on Monday (in person) and 10:00–11:00 on Thursday (in person). The Zoom link for online meetings is available on my profile on the course MOODLE page. If you cannot visit my Support Hours due to other obligations please email me and we will arrange another time. Please feel free to drop me an email at m.t.sadiq@essex.ac.uk to discuss anything further.
Profile
Biography
With over 14 years of academic experience, I am an internationally recognised scholar in Artificial Intelligence (AI), Data Science, Machine Learning, Robotics, Control Engineering, and Biomedical Engineering, ranked among the World’s Top 2% Scientists (2022–2025). I hold a PhD in Pattern Recognition and Intelligent Systems, am a Chartered Engineer (CEng), Senior Member of IEEE (SMIEEE), Fellow of the Higher Education Academy (FHEA), and Member of the IET (MIET). I have been awarded the UK Global Talent Visa and now hold Indefinite Leave to Remain (ILR) in the UK. My research portfolio spans Explainable AI, Large Language Models (LLMs), Data Science, Brain–Computer Interfaces (BCIs), and Neurorobotics, with over 80 peer-reviewed publications (H-index: 33). I have secured over £212k in research funding, led major international collaborations across the UK–China, UK–Pakistan, and UK–Malaysia networks, and established a £100k Neurorobotics and Rehabilitation Laboratory. As a committed educator, I consistently achieve student satisfaction, design research-led and accredited programmes, and deliver innovative teaching in AI, Signal Processing, Machine Learning, and Digital Health. Alongside serving as Associate Editor and Guest Editor for leading journals, I champion interdisciplinary research that bridges Artificial Intelligence, Robotics, and Healthcare, driving real-world engineering and clinical impact.
Qualifications
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PhD Northwestern Polytechnical University, (2021)
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MSc Blekinge Institute of Technology, (2011)
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BSc COMSATS University Islamabad, (2009)
Appointments
University of Essex
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Lecturer (Assistant Professor), CSEE, University of Essex (1/3/2024 - present)
Other academic
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Lecturer, Robotics, Automation and Control Engineering, University of Brighton (26/8/2022 - 29/2/2024)
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Assistant Professor, Electrical Engineering, University of Lahore (1/3/2017 - 12/8/2022)
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Assistant Professor, Electrical Engineering, University of Engineering and Technology (Affiliated College: SCET) (5/1/2014 - 28/2/2017)
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Lecturer, Electrical Engineering, University of Engineering and Technology (Affiliated College: SCET) (5/2/2013 - 31/12/2013)
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Lecturer, Electrical Engineering, University of South Asia (5/2/2011 - 1/3/2013)
Research and professional activities
Research interests
Brain-computer interfacing
Development of new frameworks for motor imagery-based BCI systems.
Machine learning
To decipher intricate patterns and extract meaningful insights from complex data, enabling advancements in disease diagnosis, treatment optimization, and personalized healthcare.
EEG
Development of machine learning and signal processing algorithms for the development of novel frameworks for neural disease identification such as epilepsy, alzheimer's disease, parkinson's disease, depression, and schizophrenia.
Motor rehabilitation
Development of BCI systems to aid movement rehabilitation after injury or disease.
Analysis and Classification of Non-Stationary Signals
Development of signal processing and machine learning approaches for the development of automatic frameworks.
Teaching and supervision
Current teaching responsibilities
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Introduction to Databases (CE153)
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Brain-Computer Interfaces and Peripheral-Neural Interfaces (CE246)
Publications
Journal articles (33)
Lv, R., Chang, W., Yan, G., Nie, W., Zheng, L., Guo, B. and Sadiq, MT., (2025). A novel recognition and classification approach for motor imagery based on spatio-temporal features. IEEE Journal of Biomedical and Health Informatics. 29 (1), 210-223
Sadiq, MT., (2025). Simultaneous Multi-Treatment Strategy for Brain Tumor Reduction via Nonlinear Control. Simultaneous Multi-Treatment Strategy for Brain Tumor Reduction via Nonlinear Control. 15 (2), 207-207
Yousaf, MZ., Guerrero, JM. and Sadiq, MT., (2025). Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach. Engineering Applications of Artificial Intelligence. 150, 110597-110597
Lv, R., Chang, W., Yan, G., Sadiq, MT., Nie, W. and Zheng, L., (2025). Enhanced classification of motor imagery EEG signals using spatio-temporal representations. Information Sciences. 714, 122221-122221
Chang, W., Kong, W., Yan, G., Lv, R., Du, K., Sadiq, MT., Guo, B., Yin, R. and Liu, X., (2025). A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises. Scientific Data. 12 (1), 1877-
Yousaf, MZ., Guerrero, JM., Sadiq, MT. and Farooq, U., (2025). Enhancing machinery reliability in lunar bases: Optimized machine learning for bearing fault classification in DC power distribution networks. Measurement. 253 (C), 117737-117737
Siuly, S., Tawhid, MNA., Li, Y., Acharya, R., Sadiq, MT. and Wang, H., (2025). Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data. Cognitive Computation. 17 (2)
Siuly, S., Khare, SK., Kabir, E., Sadiq, MT. and Wang, H., (2024). An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network.. Computers in Biology and Medicine. 174, 108462-108462
Rehman, AU., Jiang, A., Rehman, A., Paul, A., din, S. and Sadiq, MT., (2023). Identification and role of opinion leaders in information diffusion for online discussion network. Journal of Ambient Intelligence and Humanized Computing. 14 (11), 15301-15313
Sadiq, MT., Siuly, S., Almogren, A., Li, Y. and Wen, P., (2023). Efficient novel network and index for alcoholism detection from EEGs.. Health Information Science and Systems. 11 (1), 27-
Sadiq, MT., Akbari, H., Siuly, S., Li, Y. and Wen, P., (2022). Alcoholic EEG signals recognition based on phase space dynamic and geometrical features. Chaos, Solitons & Fractals. 158, 112036-112036
Sadiq, MT., Aziz, MZ., Almogren, A., Yousaf, A., Siuly, S. and Rehman, AU., (2022). Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework. Computers in Biology and Medicine. 143, 105242-105242
Yu, X., Aziz, MZ., Sadiq, MT., Jia, K., Fan, Z. and Xiao, G., (2022). Computerized Multidomain EEG Classification System: A New Paradigm. IEEE Journal of Biomedical and Health Informatics. 26 (8), 3626-3637
Akbari, H. and Sadiq, MT., (2021). Detection of focal and non-focal EEG signals using non-linear features derived from empirical wavelet transform rhythms. Physical and Engineering Sciences in Medicine. 44 (1), 157-171
Sadiq, MT., Akbari, H., Siuly, S., Yousaf, A. and Rehman, AU., (2021). A novel computer-aided diagnosis framework for EEG-based identification of neural diseases. Computers in Biology and Medicine. 138, 104922-104922
Akbari, H., Sadiq, MT. and Rehman, AU., (2021). Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain. Health Information Science and Systems. 9 (1), 9-
Akbari, H., Sadiq, MT., Payan, M., Esmaili, SS., Baghri, H. and Bagheri, H., (2021). Depression Detection Based on Geometrical Features Extracted from SODP Shape of EEG Signals and Binary PSO. Traitement du Signal. 38 (1), 13-26
Sadiq, MT., Akbari, H., Rehman, AU., Nishtar, Z., Masood, B., Ghazvini, M., Too, J., Hamedi, N. and Kaabar, MKA., (2021). Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain. Journal of Healthcare Engineering. 2021, 1-24
Akbari, H., Ghofrani, S., Zakalvand, P. and Tariq Sadiq, M., (2021). Schizophrenia recognition based on the phase space dynamic of EEG signals and graphical features. Biomedical Signal Processing and Control. 69, 102917-102917
Akbari, H., Sadiq, MT., Ur Rehman, A., Ghazvini, M., Naqvi, RA., Payan, M., Bagheri, H. and Bagheri, H., (2021). Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features. Applied Acoustics. 179, 108078-108078
Hussain, W., Sadiq, MT., Siuly, S. and Rehman, AU., (2021). Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks. Applied Acoustics. 177, 107941-107941
Yu, X., Aziz, MZ., Sadiq, MT., Fan, Z. and Xiao, G., (2021). A New Framework for Automatic Detection of Motor and Mental Imagery EEG Signals for Robust BCI Systems. IEEE Transactions on Instrumentation and Measurement. 70, 1-12
Sadiq, MT., Yu, X. and Yuan, Z., (2021). Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces. Expert Systems with Applications. 164, 114031-114031
Fan, Z., Jamil, M., Sadiq, MT., Huang, X. and Yu, X., (2020). Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients. Journal of Healthcare Engineering. 2020, 1-13
Zhang, J., Yuan, Z., Dong, S., Sadiq, MT., Zhang, F. and Li, J., (2020). Structural Design and Kinematics Simulation of Hydraulic Biped Robot. Applied Sciences. 10 (18), 6377-6377
Akhter, MP., Jiangbin, Z., Naqvi, IR., Abdelmajeed, M. and Sadiq, MT., (2020). Automatic Detection of Offensive Language for Urdu and Roman Urdu. IEEE Access. 8, 91213-91226
Akhter, MP., Jiangbin, Z., Naqvi, IR., Abdelmajeed, M., Mehmood, A. and Sadiq, MT., (2020). Document-Level Text Classification Using Single-Layer Multisize Filters Convolutional Neural Network. IEEE Access. 8, 42689-42707
Dong, S., Yuan, Z., Yu, X., Sadiq, MT., Zhang, J., Zhang, F. and Wang, C., (2020). Flexible model predictive control based on multivariable online adjustment mechanism for robust gait generation. International Journal of Advanced Robotic Systems. 17 (1), 1-15
Ali, B., Yu, X., Sadiq, MT., Rehman, AU. and Ali, L., (2020). A Finite Element Simulation of the Active and Passive Controls of the MHD Effect on an Axisymmetric Nanofluid Flow with Thermo-Diffusion over a Radially Stretched Sheet. Processes. 8 (2), 207-207
Ali, B., Naqvi, RA., Nie, Y., Khan, SA., Sadiq, MT., Rehman, AU. and Abdal, S., (2020). Variable Viscosity Effects on Unsteady MHD an Axisymmetric Nanofluid Flow over a Stretching Surface with Thermo-Diffusion: FEM Approach. Symmetry. 12 (2), 234-234
Dong, S., Yuan, Z., Yu, X., Zhang, J., Sadiq, MT. and Zhang, F., (2019). On-Line Gait Adjustment for Humanoid Robot Robust Walking Based on Divergence Component of Motion. IEEE Access. 7, 159507-159518
Ali, B., Nie, Y., Khan, SA., Sadiq, MT. and Tariq, M., (2019). Finite Element Simulation of Multiple Slip Effects on MHD Unsteady Maxwell Nanofluid Flow over a Permeable Stretching Sheet with Radiation and Thermo-Diffusion in the Presence of Chemical Reaction. Processes. 7 (9), 628-628
Yu, X., Hu, C., Zhang, W., Zhou, J., Ding, Q., Sadiq, MT., Fan, Z., Yuan, Z. and Liu, L., (2019). Feasibility evaluation of micro-optical coherence tomography (μOCT) for rapid brain tumor type and grade discriminations: μOCT images versus pathology. BMC Medical Imaging. 19 (1), 102-
Conferences (1)
Akbari, H., Sadiq, MT., Siuly, S., Li, Y. and Wen, P., (2021). An Automatic Scheme with Diagnostic Index for Identification of Normal and Depression EEG Signals
Grants and funding
2024
Enhancing Motor Intention Decoding: A Cross-Cultural Approach
The Royal Society
Contact
Academic support hours:
My Academic Support Hours will be 9:30–11:30 on Monday (in person) and 10:00–11:00 on Thursday (in person). The Zoom link for online meetings is available on my profile on the course MOODLE page. If you cannot visit my Support Hours due to other obligations please email me and we will arrange another time. Please feel free to drop me an email at m.t.sadiq@essex.ac.uk to discuss anything further.